Describe the current behavior / 问题描述 (Mandatory / 必填)

resnet18模型地址：https://gitee.com/mindspore/models/tree/master/official/cv/ResNet

resnet18网络ImageNet数据集,当batch_size=256时,910 1p，ms性能比竞品低

Environment / 环境信息 (Mandatory / 必填)

• Hardware Environment(Ascend/GPU/CPU) / 硬件环境:

Please delete the backend not involved / 请删除不涉及的后端:
/device Ascend

• Software Environment / 软件环境 (Mandatory / 必填):
  -- MindSpore version (e.g., 1.7.0.Bxxx) :r2.0.0 commit_id:92c63200
  -- Python version (e.g., Python 3.7.5) :
  -- OS platform and distribution (e.g., Linux Ubuntu 16.04):
  -- GCC/Compiler version (if compiled from source):
  run包:HiAI/HISI_C84/20230105
  MindSpore 版本：编译时间20230109121533 r2.0.0 commit_id:92c63200

• Excute Mode / 执行模式 (Mandatory / 必填)(PyNative/Graph):

Please delete the mode not involved / 请删除不涉及的模式:
/mode pynative

Related testcase / 关联用例 (Mandatory / 必填)

测试仓库地址：solution_test/cases/02network/00cv/resnet18/pynative
用例：
test_ms_usability_benchmark_pynative_ascend_resnet_18_time_perf_loss_1p_0001.py

Steps to reproduce the issue / 重现步骤 (Mandatory / 必填)

1. get code from models
2. cd models/official/cv/ResNet
3. set batch_size as 256
4. set train mode as pynative
5. cd scripts;sh run_standalone_train.sh
6. 验证网络训练是否成功
7. 验证ms/竞品性能比是否大于等于100%

Describe the expected behavior / 预期结果 (Mandatory / 必填)

ms/竞品性能比 >=100%

Related log / screenshot / 日志 / 截图 (Mandatory / 必填)

Ascend910 1p，BATCH_SIZE=256:
竞品：PT1.8+910
性能：3945.463
mindspore：
pynative：2821

mindspore/tensorflow=0.71498

Special notes for this issue/备注 (Optional / 选填)

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